Reduced Order Models in a scikit-learn approach.
MIT License
Model zoo for different kinds of uncertainty quantification methods used in Natural Language Proc...
Replicated Focusing Belief Propagation algorithm
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
OpTaS: An optimization-based task specification library for trajectory optimization and model pre...
INCOME: An Easy Repository for Training and Evaluation of Index Compression Methods in Dense Retr...
High-Performance Symbolic Regression in Python and Julia
Libraries for OpenSimAD - OpenSim with support for Algorithmic Differentiation
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction m...
Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...
An open platform for training, serving, and evaluating large language models. Release repo for Vi...
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
[CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration